Intern, Translational Data Science (Project: Characterizing Immune States in PDAC and Their Impact on Disease Progression)

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Does this inspire you and feel like a fit? Then we would love to have you join us!

Why Genmab

Our internship program provides interns with hands-on experience and relevant projects that directly align with our company’s goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we’re always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary® future.

The Role

We are looking for a highly motivated student to join our Translational Data Science team in Utrecht to work on a research project focused on pancreatic ductal adenocarcinoma (PDAC), a disease marked by strong heterogeneity and limited response to standard-of-care treatments. A key open question is why a subset of patients shows rapid disease progression despite treatment.

In this project, you will investigate whether differences in the tumor immune microenvironment define distinct immune subtypes that explain early progression (within 3 or 6 months). You will analyze transcriptomic data from PDAC patients to identify these subtypes and characterize them using immune-related signals and pathways.

The analysis will primarily leverage internal commercial datasets, including handling batch effects across cohorts. You will further interpret and validate findings using public resources such as TCGA and DepMap. To place the results in context, you will compare the identified immune subtypes with established PDAC molecular subtypes (e.g., classical vs basal-like) and evaluate their relative and complementary value in explaining patient outcomes. You will evaluate whether immune-derived features provide predictive value for early progression beyond established PDAC molecular subtypes using statistical or machine learning models. This project will provide insight into immune-driven mechanisms of early progression and support improved patient stratification strategies in PDAC.

Does this sound like something that interests you? We look forward to receiving your application and exploring the possibility of you joining our team to contribute to the advancement of antibody therapeutics! Help us get to know you by submitting a CV and motivational letter.

Responsibilities

• Process and harmonize internal PDAC transcriptomic datasets (commercial), including batch correction across datasets.

• Identify immune-related subtypes using clustering and dimensionality reduction approaches.

• Characterize subtypes using immune signatures and pathway-level analyses.

• Leverage TCGA and DepMap datasets for comparison and biological interpretation.

• Map identified subtypes to baseline patient samples with clinical outcome data.

• Map established PDAC molecular subtypes (e.g., classical vs basal-like) and compare them with derived immune subtypes.

• Evaluate associations between immune subtypes and early progression (3- and 6-month endpoints).

• Visualize results and generate interpretable summaries for translational insights.

• Document analysis workflows and present findings to the Translational Data Science team.

Requirements

• Currently enrolled in a Master’s program in Systems Biology, Bioinformatics, or a related field at a Dutch university.

• This internship must be a formal, mandatory component of your degree program required for graduation; we cannot consider candidates who have already graduated or who are seeking an extracurricular internship.

• Available for a minimum of 6 months.

• Experience with R and/or Python for data analysis.

• Familiarity with transcriptomics data analysis is preferred.

• Understanding of statistical methods and clustering techniques.

• Experience with public datasets such as TCGA or DepMap is a plus.

• Interest in oncology, immunology, and translational research.

General Information

• Internship duration: 6-9 months.

• Start date: September 1st 2026.

• Location: Utrecht, Netherlands

About You

• You are genuinely passionate about our purpose

• You bring precision and excellence to all that you do

• You believe in our rooted-in-science approach to problem-solving

• You are a generous collaborator who can work in teams with a broad spectrum of backgrounds

• You take pride in enabling the best work of others on the team

• You can grapple with the unknown and be innovative

• You have experience working in a fast-growing, dynamic company (or a strong desire to)

• You work hard and are not afraid to have a little fun while you do so!

Locations

Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate.

About Genmab

Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X .

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com) .

Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the contract.